This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications. This book is released under a CC-BY license, thanks to a gift from the Saylor Foundation. Print copies and course materials are available from the author's web page. Topics: computer engineering, parallel computing
byWenbang Sun, Hexin Chen, Hong Chen, Zhiqiang Wang
At present, 2-D DCT is applied widely in the field of signal processing. But the transform actually operates 1-D DCT to the rows and columns of 2-D data successively, which limits the transform speed to farther improve. To overcome such drawback, a parallel computing method is proposed in the paper. First, some new matrix operation algorithms and a new transform matrix are defined. Then, 2-D SDCT (Submatrix Discrete Cosine Transform) is operated integrally based on the new transform matrix and... Topics: 2-D SDCT, Fast Algorithm, Parallel Computing
An interview with Intel software developer James Reinders on parallel computing, multicore computers and their applications in scientific research. Topics: Intel, multicore, parallel computing, Science Media Centre
The purpose of this book is to teach new programmers and scientists about the basics of High Performance Computing. Too many parallel and high performance computing books focus on the architecture, theory and computer science surrounding HPC. This book speaks to the practicing chemistry student, physicist, or biologist who need to write and run their programs as part of their research. High Performance Computing, originally published by OâReillyâbut out of print since 2003, has been... Topics: high performance computing, open textbooks, parallel computing
Parallel reversal schedules describe how to calculate the states of an evolutionary system, such as atmospheric and oceanographic simulations, in reverse order without having to keep all states in memory. This is possible without any increase in computation time, by recalculating intermediate results using multiple processors on a parallel computer system. These schedules are not only applied physical simulations that need to run in reverse, but also in algorithmic differentiation, which in... Topics: mathematics, simulation, automatic differentiation, scheduling, diploma thesis, algorithmic...
Information leads to knowledge and knowledge leads to wisdom. Every human activity requiresknowledge to accomplish their daily task. Theformat for creation/storage of information has changed with the emergence of e-publishing. The information available in digital form should be preserved for future and for this the digital library has to be sustainable. The growth of digital libraries, rapidly changing technological and networking infrastructure threatens the sustainability of digital... Topics: Digital Library, Institutional Repositories, Cloud Computing, Parallel Computing, Grid Computing,...
The Transputer was a microprocessor too far ahead of its time. Update the clock speeds, and the architecture would be impressive today. It was a actually a microcomputer, having a cpu, memory, and I/O on one chip. External logic required was minimal. Large arrays of Transputers were easily implemented. However, like many advanced technological artifacts, it was hard to understand. It took a while to get used to the software approach. The tools were difficult to use. In fact, the software... Topics: Transputer, Occam, communicating processes, parallel computing spacecraft, MIMD, system-on-a-chip,...
This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing. This course was also taught as part of the Singapore-MIT Alliance (SMA)... Topic: algorithms, efficient algorithms, sorting, search trees, heaps, hashing, divide-and-conquer,...
byLCPC (Workshop) (16th : 2003 : College Station, Tex.); Rauchwerger, Lawrence
Languages and Compilers for Parallel Computing: 16th International Workshop, LCPC 2003, College Station, TX, USA, October 2-4, 2003. Revised PapersAuthor: Lawrence Rauchwerger Published by Springer Berlin Heidelberg ISBN: 978-3-540-21199-0 DOI: 10.1007/b95707Table of Contents:Search Space Properties for Mapping Coarse-Grain Pipelined FPGA Applications Adapting Convergent Scheduling Using Machine-Learning TFP: Time-Sensitive, Flow-Specific Profiling at Runtime A Hierarchical Model of Reference... Topics: Parallel processing (Electronic computers), Programming languages (Electronic computers), Compilers...